MétaCan
Menu
Back to cohort
Record W2046713141 · doi:10.1109/jsen.2011.2160337

Towards Self-Powering Touch/Flex-Sensitive OLED Systems

2011· article· en· W2046713141 on OpenAlexafffund
Yindar Chuo, Clint Landrock, Badr Omrane, Jeydmer Aristizabal, Jasbir N. Patel, M. Marzencki, Bożena Kamińska

Bibliographic record

VenueIEEE Sensors Journal · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsSimon Fraser University
FundersSimon Fraser University
KeywordsEnergy harvestingMaterials scienceEnergy storagePolyfluoreneOLEDOptoelectronicsNanotechnologyEnergy (signal processing)Electrical engineeringComputer scienceElectroluminescenceEngineering

Abstract

fetched live from OpenAlex

In this work, we present a novel design for an organic light-emitting system integrated with a mechanical energy harvesting and energy storage polymer films (patent pending). The system is configured into multiple stacked layers to form a thin, flexible, and lightweight assembly. The thin “film-like” device can be deformed and flexed to generate energy up to 0.5 mW within 100 s with ease. This platform technology finds applications in energy harvesting displays, electronic papers, key-input-pads, novel packaging, smart-IDs, disposable lab-on-a-chip optomicrofluidic systems, and much more. Results on the energy storage characteristics of the ionic polymer-metal composite film, the performance of a polyfluorene-based organic light-emitting device, and the mechanical energy transduction of the piezoelectric polymer energy harvester are presented. The polymeric nature of this platform system further makes it suitable for roll-to-roll print manufacturing, supporting applications requiring high volume and low cost.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.219
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueIEEE Sensors JournalSame topicAdvanced Sensor and Energy Harvesting MaterialsFrench-language works237,207